jrnls.org logo
Submit

BROWSE ALL JOURNALS

SEE ALL 19 JOURNALS
Indian Journal of Pharmaceutical Education and ResearchNOW IN
Article

Discrimination of Different Part of Curcuma longa by HPLC Fingerprints Combined with Multivariate Statistical Analysis

Jiuhua Song1,2, Dabing Xiang2, Ying Cheng1, Yuan Fang1, Yinghong Wang1, Kai Shi1★★ Corresponding author

  1. 1Department of New Energy Materials and Chemistry, Leshan Normal University, Leshan, CHINA.
  2. 2Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu, CHINA.

CORRESPONDENCE

Kai Shi

Department of New Energy Materials and Chemistry, Leshan Normal University, Sichuan-614000, Leshan, CHINA.

shikai9901@163.com

Received: 09-03-2022; Revised: 23-09-2022; Accepted: 22-01-2023.

Volume 57, Issue 2 · pp. 583–590 · PUBLISHED 2023 · DOI: 10.5530/ijper.57.2.71

View on IJPER original site ↗

ABSTRACT

Aim: The purpose of this study is to develop a method to explore the difference between the rhizomes and tuberous roots of Curcuma longa, and screen out the difference markers. Materials and Methods: The quantitative analysis and fingerprints of rhizomes and tuberous roots were established by HPLC, rhizomes and tuberous roots of Curcuma longa were clearly discriminated by Hierarchical Cluster Analysis (HCA), Similarity Analysis (SA) and Principal Component Analysis (PCA). The difference markers were screened out by Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Results: The contents of curcumin, bisdemethoxycurcumin and demethoxycurcumin in all rhizomes were higher than those in tuberous roots. Multivariate statistical analysis shown that the samples of rhizomes were grouped into the same categories and samples of tuberous root were grouped another group in each analysis mode. And the OPLS-DA model had a good productivity and good fit indicated by the value of R2Y=0.981, Q2=0.946and R2X=0.816. The important markers for discrimination samples were the peak 14, peak 10 (demethoxycurcumin) and peak 11 (curcumin). Conclusion: The fingerprinting combination of multivariate statistical analysis can be applied to distinguish the rhizomes and tuberous roots of Curcuma longa.

KEYWORDS

Open in new tab

REFERENCES

As published

Showing references and in-text citations exactly as published.

    Cite this article

    SELECT FORMAT

    Song, J., Xiang, D., Cheng, Y., Fang, Y., Wang, Y., & Shi, K. (2023). Discrimination of Different Part of Curcuma longa by HPLC Fingerprints Combined with Multivariate Statistical Analysis. Indian Journal of Pharmaceutical Education and Research, 57(2), 583–590. https://doi.org/10.5530/ijper.57.2.71